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Best Practices for Implementing Recreation Demand Models
DOI:10.1093/reep/reaa007.png)
摘要
En 中文
This article discusses best practices for implementing recreation demand models. We focus on insights that research and experience provide for the typical recreation application, where the analyst uses individual-level data to measure the value of changes in recreation site access or quality at one or more destinations. We examine issues related to data collection, pre-analysis tasks, modeling, and assessing quality, in addition to a discussion of future research needs. Our focus is on understanding best practices when the analyst's goal is to present accurate estimates of economic value of recreation site access or quality, and so we prioritize practical steps rather than describing the frontiers of methodological research in recreation demand modeling.
Keyword:
RANDOM UTILITY MODEL
CHOICE
TIME
UNOBSERVABLES
PREFERENCES
BEHAVIOR
QUALITY
TRIPS
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期刊
IF:
6.6
论文数:
370
被引数:
2.4K
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引用论文
Estimating preferences for outdoor recreation: a comparison of continuous and count data demand system frameworks估计户外休闲的偏好: 连续和计数数据需求系统框架的比较


